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DBMS > Cachelot.io vs. IBM Db2 Event Store vs. Quasardb vs. RavenDB vs. Spark SQL

System Properties Comparison Cachelot.io vs. IBM Db2 Event Store vs. Quasardb vs. RavenDB vs. Spark SQL

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonQuasardb  Xexclude from comparisonRavenDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionIn-memory caching systemDistributed Event Store optimized for Internet of Things use casesDistributed, high-performance timeseries databaseOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeEvent Store
Time Series DBMS
Time Series DBMSDocument storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitecachelot.iowww.ibm.com/­products/­db2-event-storequasar.airavendb.netspark.apache.org/­sql
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedoc.quasar.ai/­masterravendb.net/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperIBMquasardbHibernating RhinosApache Software Foundation
Initial release20152017200920102014
Current release2.03.14.1, January 20245.4, July 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoSimplified BSD Licensecommercial infofree developer edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C++C#Scala
Server operating systemsFreeBSD
Linux
OS X
Linux infoLinux, macOS, Windows for the developer additionBSD
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyes infointeger and binarynoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesnonoyes infowith tagsyesno
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeSQL-like query languageSQL-like query language (RQL)SQL-like DML and DDL statements
APIs and other access methodsMemcached protocolADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesnoyesno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoconsistent hashingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive-active shard replicationSource-replica replication with selectable replication factorMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentnoYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeno
User concepts infoAccess controlnofine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailAuthorization levels configured per client per databaseno

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More resources
Cachelot.ioIBM Db2 Event StoreQuasardbRavenDBSpark SQL
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